Module Catalog Methodical Modules

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L11 Methods of soil and crop science.

Coordinator	Prof. Dr. R. Jörgensen
Language	German
Credits	6
Stud. Workload	180h, thereof 60 h contact hours
Frequency (WS / SS)	SS, every 2 years
Course contents	Observations ↔ analyses; surveys ↔ experiments; problems: control, number of parallels, site influences; (e.g. weather, soil, plant diseases); laboratory incubation experiments; long-term experiments; vessel experiments in climate chambers / greenhouse; lysimeter small / large, climate chamber / field; field experiments; on-farm research; false time series; GIS, aerial photo analysis; modeling
Qualification goal	Students are able to recognize the limitations and possibilities of different methods on different scales and to consider the relationships between research question and method.
Literature	Dunger, W., Fiedler, H.J. 1997: Methods of soil biology. 2nd ed. Jena; Davies, A., R.D. Baker, S.A. Grant, and A.S. Laidlaw (ed.) 1993: Sward measurement handbook. 2nd ed. Br. Grassl. Soc., Reading, England; Backhaus, K. et al.2003: Multivariate analysis methods. 10th ed. Berlin; Lozán, J., Kausch, H.: Applied Statistics for Natural Scientists.
Teaching format	Lecture, seminar, presentations
Certificate of achievement	Expert discussion
Applicability	Elective subject according to § 11 (3) PO Organic Farming
Prerequisite for participation	Admission requirements according to §10 PO Organic Farming

I01M Ecological Modelling and GIS

Coordinator	Dipl. Ing. agr. T. Fricke
Language	English
Credits	6
Stud. Workload	180h, thereof 60 h contact hours
Frequency (WS / SS)	WS, yearly
Lecturers	Dipl. Ing. agr. T. Fricke, NN
Course contents	Ecological Modelling: Introduction to common mathematical concepts used in ecology; Basic steps of modelling (conceptual modelling, translation of ecological knowledge into mathematical concepts, implementation, verfication); What is simulation, specific methods (nonlinear parameter estimation, sensitivity analysis); Modeling and simulation packages; Modelling of important ecological process: transport, nutrient cycles, dynamics of soilwater, growth, population dynamics GIS: Principles of geodetics; georeferencing; data types, import and management; methods of data manipulation and analysis (aggregation, (re)classification, interpolation, buffers, overlays, network analysis, image analysis; remote sensing techniques; practical exercises with GIS and GPS, explained under consideration of applications in (organic) farm management and precision farming.
Qualification Objective	Ecological Modelling: Basic understanding of the mathematics used in ecological modelling (e.g. ordinary and partial differential equations, state and time events, including numerical aspects); Basic experiences in modeling and simulation; Knowledge about the possibilities and limits of modeling and simulation in ecology. GIS: Understanding of geodetic fundamentals, basic GIS-methods and related applications like GPS, remote sensing and precision farming; evaluation of GIS-applications in (organic) farm management.
References	Chang, K.T. 2002: Introduction to geographic information systems. McGraw-Hill. Boston Schuurman, N. 2004: GIS - A short introduction. Blackwell. Lecture notes, online tutorials
Teaching format	Lecture 30h, Seminar 30h
Certificate of achievement	Technical discussion (approx. 15 min) 50% and term paper (10-15 S) 50%.
Applicability	Elective module according to § 11 (3) PO MSc Organic Agriculture
Prerequisite for participation.	Admission requirements according to § 10 PO MSc Organic Farming

E05M Marketing research

Coordinator	Prof. Dr. U. Hamm
Language	English
Credits	6
Stud. Workload	180h, thereof 60h contact hours
Frequency (WS/SS)	WS, yearly
Lecturers	Prof. Dr. U. Hamm
Course contents	Tasks and management of marketing research; methods of data collection; methods of data analysis, methods of prognoses.
Qualification goal	Students are able to outline the steps in the marketing research process; are able to develop a marketing research design; know all relevant methods for data collection, analyses and prognoses with their specific advantages and problems; acquire personal skills for teamwork, oral and written presentations.
Literature	Aaker, D.A., Kumar, V., Day, G.S. 2007: Marketing research, 9th ed, New York; Burns,A.C., Bush, R.F. 2006: Marketing Research. 5th ed., New Jersey; Bryman, A. 2004: Social research methods, 2nd ed., Oxford; Shao, A.T. and Zhou, K.Z. 2007: Marketing research 3rd ed., Cincinatti.
Teaching format	Lecture 30h, Seminar 30h
Certificate of achievement	Discussion (ca. 30 min) 50%, seminar paper (ca. 5 S) 25%, presentation (ca. 20 min) 25%.
Applicability	Elective subject according to §11 (3) PO MSc Organic Agriculture
Prerequisite for participation.	Admission requirements according to § 10 PO MSc Organic Farming

L15 Marketing research methods

Coordinator	Prof. Dr. U. Hamm
Language	German
Credits	6
Stud. Workload	180h, thereof 60 h contact hours
Frequency (WS / SS)	SS, yearly
Course contents	Basics of marketing research, construction of databases for company, competitor and market analysis, market research instruments and evaluation methods.
Qualification goal	Students know the basics of marketing research and have in-depth knowledge of marketing research instruments and evaluation methods.
Literature reference	Berekoven, L., Eckert, W. and P. Ellenrieder 2001: Market Research. 9th edition. Wiesbaden; Hammann, P. and B. Erichson 2000: Market research. 4th ed. Stuttgart; Shao, A.T. 2002: Marketing Research. 2nd edition. Cincinnati/USA
Teaching format	Lecture, Seminar
Certificate of achievement	Discussion, term paper, presentation
Prerequisite for participation	Admission requirements according to §10 PO Organic Farming
Applicability	Elective subject according to § 11 (3) PO Organic Farming

L12 Scientific work in the field of farm animals

Coordinator	Prof. Dr. U. Knierim
Language	German
Credits	6
Stud. Workload	180h, thereof 60 h contact hours
Frequency (WS / SS)	WS, yearly
Course contents	Handling of scientific literature; Methods of different disciplines of animal science; Scientific quality criteria; Design of experiments, statistics; Scientific presentation
Qualification goal	The students should learn the basic principles of scientific work and acquire the ability to develop an experimental question against the background of existing literature as well as to plan and present a corresponding experiment.
Literature reference	Martin, P.; Bateson, P. 1993: Measuring Behaviour. An introductory guide. 2nd ed. Cambridge University Press
Teaching format	Seminar
Certificate of achievement	Student research project, presentation, project work
Applicability	Elective subject according to § 11 (3) PO Organic Farming
Prerequisite for participation	Admission requirements according to §10 PO Organic Farming